either using a dedicated functional model if it exists: e.g. a functional
basis process.

or using an interpolation from a discrete realization of the process on
: in dimension , a linear interpolation and in
dimension , a piecewise constant function (the value at a
given position is equal to the value at the nearest vertex of the mesh of
the process).

Time grid of a process when the mesh associated to the
process can be interpreted as a RegularGrid. We check
if the vertices of the mesh are scalar and are regularly spaced in
but we don’t check if the connectivity of the mesh is conform
to the one of a regular grid (without any hole and composed of ordered
instants).

Time grid of observation of the process when the mesh associated to the
process can be interpreted as a RegularGrid. We check
if the vertices of the mesh are scalar and are regularly spaced in
but we don’t check if the connectivity of the mesh is conform
to the one of a regular grid (without any hole and composed of ordered
instants).